* Table SI.3. Sample statistics and target population statistics. The table shows the descriptive statistics for the Israeli citizens sample (column 1) and target population statistics from the Central Bureau of Statistics of Israel (2019 data, column 2), available on https://www.cbs.gov.il/en/ publications/Pages/2020/Statistical-Abstract-of-Israel-2020-No-71.aspx. We use table 2.3a (sex and age), table 2.19 (district), and table 28 (education). The table also shows the descriptive statistics for the Palestinian sample (column 3) and target population statistics from the Palestinian Central Bureau of Statistics (column 4), available on https://www.pcbs.gov.ps/pcbs 2012/Publications.aspx. We use table 2 (sex and age), table 20, and 21 (education) from the Census Final Results - Detailed Report Palestine 2017 (the latest Census data available), and table 2 from Census Final Results - Detailed Report West Bank 2017 and Census Final Results - Detailed Report Gaza Strip 2017.


*Table SI.3. Sample of Israeli citizens (column 1)
* Load the data
use "$rootfolder\Data\Israelis_ranking_data.dta", clear
preserve

collapse (min) consent_ipanel_project (min) consent_gender (min) consent_age (min) consent_district, by(player_id) 

tab consent_ipanel_project

tab consent_gender

tab consent_district

gen age_group_coarse = . 
replace age_group_coarse=1 if consent_age >= 18 & consent_age<=29
replace age_group_coarse=2 if consent_age >= 30 & consent_age<=39
replace age_group_coarse=3 if consent_age >= 40 & consent_age<=49
replace age_group_coarse=4 if consent_age >= 50 & consent_age<=59
replace age_group_coarse=5 if consent_age >= 60 & consent_age<=69
replace age_group_coarse=6 if consent_age >= 70 & consent_age<. 

sum consent_age 
tab age_group_coarse

restore




*Table SI.3. Sample of Palestinians (column 3)
* Load the data
use "$rootfolder\Data\Palestinians_ranking_data.dta"

preserve
collapse (min) gender (min) age (min) education_level (min) d03, by(player_id) 

* Gender
label define label_gender 0 "Female" 1 "Male"
label values gender label_gender
tab gender

* origin
tab d03
label define label_origin 0 "West Bank" 1 "Gaza Strip" 
label values d03 label_origin

* age groups
sum age 
rename age consent_age

gen age_group_coarse = . 
replace age_group_coarse=1 if consent_age >= 18 & consent_age<=29
replace age_group_coarse=2 if consent_age >= 30 & consent_age<=39
replace age_group_coarse=3 if consent_age >= 40 & consent_age<=49
replace age_group_coarse=4 if consent_age >= 50 & consent_age<=59
replace age_group_coarse=5 if consent_age >= 60 & consent_age<=69
replace age_group_coarse=6 if consent_age >= 70 & consent_age<. 

tab age_group_coarse

restore